Europe’s most ambitious AI infrastructure program formally opened its bidding process on Thursday — and the fine print tells a different story than the headline.

The European Commission launched the official call for tenders to build up to seven AI Gigafactories across the EU on July 30, with a headline investment figure of more than €30 billion (approximately $34.6 billion USD). Behind that number: only approximately €1 billion (approximately $1.2 billion USD) of Brussels’ public share is actually locked in. The rest depends on a long-term EU budget that has not been agreed, as The Next Web reported. And all the chips that would fill these facilities — the entire compute layer of Europe’s “sovereignty” play — will come from Nvidia, AMD, and Qualcomm, three American companies with which the Commission has signed letters of intent, Euronews confirmed.

A senior Commission official acknowledged the gap directly on Thursday. “We cannot pre-empt the decisions about the next MFF,” the official told reporters, describing the €30 billion figure as a “best estimate” of what might be available rather than money in hand, The Next Web reported.

The initiative calls for up to seven AI Gigafactories — large-scale compute facilities each equipped with at least 100,000 cutting-edge AI chips — spread across EU member states, according to the European Commission announcement. At that chip count, a single gigafactory is roughly four times more powerful than the largest AI data centers currently operating in the EU. Together, seven of them would more than double the bloc’s total AI compute capacity.

The math on power consumption alone illustrates why the energy question is as consequential as the funding question. A 100,000-chip facility drawing roughly 700 watts per GPU-class accelerator would require approximately 70 megawatts of raw compute power — and 120 to 150 megawatts of total facility load once cooling, networking, and support systems are included, according to a CEPS analysis. European industrial electricity costs are roughly two to three times those in the United States or China, meaning a facility that might cost €100 million to €200 million per year to power in Europe could be operated for half or a third of that cost elsewhere, Euronews energy analysis found.

The tender is split into two funding lots, as the IBTimes UK report detailed. Projects in the smaller lot are eligible for up to €100 million (approximately $115 million USD) in early-stage EU funding, rising to €400 million (approximately $461 million USD) in a second phase. The larger lot offers up to €200 million (approximately $231 million USD) initially and as much as €800 million (approximately $922 million USD) subsequently. Eighteen EU member states — Croatia, Czechia, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Poland, Portugal, Slovakia, Spain, and Sweden — have signed a joint procurement agreement with the EuroHPC JU to participate, according to the Commission.

Consortia or special purpose vehicles comprising technology providers, cloud companies, public entities, and investors can apply. Projects may be hosted in a single member state — at one or multiple sites — or span borders through distributed infrastructure, IBTimes UK reported.

What “€30 Billion” Actually Means

The headline figure requires unpacking. Of the roughly €10 billion (approximately $11.5 billion USD) in public funding that the Commission describes, Brussels itself is targeting approximately €5 billion (approximately $5.8 billion USD), matched by another €5 billion from the member states hosting facilities. The remaining €20 billion (approximately $23.1 billion USD) is expected from private investors, Euronews reported.

Under the current EU budget, however, the Commission can commit only roughly €1 billion (approximately $1.2 billion USD) — the amount available from existing programs including Horizon Europe, Digital Europe, and the Connecting Europe Facility. Council Regulation 2026/150, which entered into force in January 2026 and formalized the EU’s contribution to the gigafactories through the EuroHPC Joint Undertaking, caps the Union’s share at 17 percent of the capital expenditure for each facility’s computing infrastructure, the Open Future analysis documented. The remaining approximately €4 billion (approximately $4.6 billion USD) of Brussels’ stated target depends on the next Multiannual Financial Framework — the EU’s long-term budget, negotiations for which are currently ongoing and unresolved, Euronews reported.

That 17 percent cap is the structural fact that the headline obscures: European law limits the public subsidy to a minority share of each project’s cost. The other 83 percent must come from private investors and member states. Whether private capital commits at the necessary scale — against a backdrop of energy cost disadvantage, delayed timelines, and competing global alternatives — is the central unanswered question of the program.

Sovereignty Built on American Chips

At the heart of the gigafactory program is a tension the Commission has addressed rather than resolved. The initiative is framed as reducing Europe’s dependence on foreign AI infrastructure — but the infrastructure itself will run on chips from Nvidia, AMD, and Qualcomm, all headquartered in the United States, Euronews confirmed.

A group of 18 European Parliament lawmakers flagged this directly in a warning to the Commission before the tender launch, questioning how the gigafactory initiative would reduce Europe’s strategic dependencies when the compute layer remained entirely in American hands, Techzine analysis reported.

The Commission has signed three letters of intent with Nvidia, AMD, and Qualcomm — a move framed as ensuring “seamless access to the necessary hardware” following the EU-US trade deal, Euronews reported. Henna Virkkunen, the Commission’s Executive Vice-President for Technological Sovereignty, Security and Democracy, described access to gigafactory-scale compute as “a strategic necessity for Europe as AI development accelerates,” the Commission stated. The specification that “part of the procurement may be dedicated to European start-ups and scale-ups in order to strengthen the European digital supply chain” signals awareness of the dependency — but not a structural solution to it, as IBTimes UK noted.

The chip architecture dependency is not merely a procurement concern. Nvidia’s NVLink/NVSwitch interconnect architecture and AMD’s Infinity Fabric are proprietary — facilities built around one vendor’s interconnect cannot easily absorb workloads from the other. Individual gigafactories that choose different chip vendors face real workload-portability constraints, limiting how interoperable the seven facilities will actually be, the CEPS analysis warned.

Does Europe Actually Have Room for Seven Training Supercenters?

A subtler technical critique has emerged from European policy research: gigafactories are designed for AI training workloads, but the center of gravity in enterprise AI spending is already shifting toward inference.

Training workloads — the computationally intensive process of building an AI model from scratch — are centralized, latency-tolerant, and power-hungry. They are well-suited to large, remote facilities. Inference workloads — the real-time serving of an AI model to users — require proximity to end-users to meet latency requirements typically under 100 milliseconds, per CEPS analysis. As Microsoft, Google Cloud, AWS, and others move toward disaggregated AI infrastructure with dedicated inference chips and distributed deployment, the training-cluster model that gigafactories represent may be optimizing for a workload mix that enterprise AI is moving away from, according to Techzine’s analysis of the plan.

A study led by Maria Nowicka at Interface, a European energy and digital policy think tank, warned that without careful siting and grid integration, the facilities risk becoming costly stranded assets: “Constructing multi-hundred-megawatt facilities that fail to use their contracted capacity effectively would be unsustainable not only economically but also from an energy- and climate-system perspective,” Euronews energy analysis reported.

Nowicka, speaking specifically about the gigafactory tender as it stands, added that the specifications remain intentionally open in several areas: “The tender is quite packed, and while it contains references to energy efficiency, networking, and supply-chain resilience, some of those requirements are intentionally left open and vague. That leaves a real risk that individual AI gigafactories end up pursuing their own purposes, rather than fitting into a single coherent EU-level strategy.”

A History of Delays: Narrowing Bids and a Slipping Schedule

The formal tender launch on Thursday arrives more than a year after the initiative was first announced. Commission President Ursula von der Leyen launched InvestAI at the AI Action Summit in Paris in February 2025, announcing plans to mobilize €200 billion (approximately $230.5 billion USD) for AI investment, including a €20 billion (approximately $23.1 billion USD) fund specifically for AI Gigafactories, per the Commission InvestAI announcement. The original call for tenders was targeted for late 2025. It slipped to early 2026, then again to summer 2026, The Next Web delay report documented.

The delays have taken a toll on private-sector appetite. An earlier expression-of-interest round drew 76 responses from consortia in 16 member states across 60 sites, EuroHPC JU data confirmed. But Bloomberg reported — and Droids Substack citing Bloomberg subsequently documented — that the field of expected actual bidders had narrowed to approximately 10, with at least two consortia reconsidering participation as the project was scaled back. Among confirmed bidders: Deutsche Telekom and Brookfield, and France’s Scaleway-led AION consortium.

The CEPA think tank framed the pattern in broader historical terms in February 2026: AI Factories “fail to address Europe’s main AI weaknesses: high energy costs, stringent copyright rules, and tough AI regulation. They increase potential supply but fail to stimulate what’s needed most: demand.” The organization drew comparisons to prior large-scale European industrial initiatives — Galileo, the satellite navigation system, and Gaia-X, the European cloud initiative — that came in late, over cost, or underperforming against their stated objectives, the CEPA analysis found.

Europe’s most prominent AI developer, Mistral, did not wait for the gigafactories: the French startup invested €1.2 billion (approximately $1.4 billion USD) in a Sweden data center in February 2026 and raised hundreds of millions of euros for a facility near Paris, raising the question of who the gigafactories are actually designed to serve, Techzine analysis noted.

What the Commission Says This Is For

Commission spokesperson Thomas Regnier pushed back on demand-side concerns, arguing that the initiative is not primarily about raw compute volume: “This is not just about raw compute power, it’s about sovereign compute” — environments where data is “fully protected under European law, without the possibility of third country interference,” Techzine analysis reported.

The argument has merit. European enterprises building AI systems on Amazon Web Services, Microsoft Azure, or Google Cloud face structural exposure under the U.S. CLOUD Act, which allows U.S. law enforcement to compel disclosure of data held by U.S. companies regardless of where their servers sit. A June 2026 incident in which Anthropic was ordered to suspend its Fable 5 and Mythos 5 models under U.S. export controls — disabling access for users globally — made the dependency concrete in a way years of policy debate had not, as TechTimes previously reported.

The Commission’s answer to the chip-dependency critique is proportionality: getting the facilities built now, on available hardware, is preferable to waiting for European chip production that does not yet exist. Criteria in the tender call specifically address “measures to avoid potential lock-in effects from suppliers,” and the letters of intent with AMD, Nvidia, and Qualcomm explicitly allow procurement from “hardware providers in Europe or like-minded countries,” with a carve-out encouraging hardware from European startups and scale-ups, Euronews reported.

Is This How to Answer That Question?

Whether the gigafactory initiative succeeds depends on factors the Commission controls only partially. The deadline for submitting bids is November 12, 2026. Following evaluation by the EuroHPC JU, award decisions are expected in early 2027. Construction is then set to begin in 2027, with the first facilities expected to be operational within 18 months of contract signature — pointing to a mid-2028 earliest operating date for the first gigafactories, per the European Commission announcement.

That timeline depends on: a Multiannual Financial Framework that has not been agreed; private investors willing to commit the 83% of project capital that the EU Regulation does not cover; energy grid capacity that European network operators are already warning is under strain; and a chip supply chain that remains entirely in American hands. The Commission’s position is that building imperfect infrastructure is preferable to building nothing — and that compute is a precondition for everything else Europe wants to accomplish in AI.

As Commission President von der Leyen put it in a social-media post accompanying Thursday’s announcement: “European AI Gigafactories will provide the necessary computing power to make this possible. Together, we are building our technological sovereignty,” the European Commission announced. The tender is open. The bidders have until November 12.

Frequently Asked QuestionsWhat is an AI Gigafactory and how does it differ from existing European AI infrastructure?

An AI Gigafactory is a large-scale computing facility specifically designed to train and run advanced AI models, equipped with at least 100,000 specialized AI chips. The EU already funds a network of 19 smaller “AI Factories” attached to its supercomputing centers, each with roughly 25,000 chips. The new gigafactories are a deliberate step up in scale — roughly four times the size — targeted at the kind of frontier model training that today only a handful of US and Chinese labs can afford. At the energy level, a 100,000-chip gigafactory requires approximately 120 to 150 megawatts of total facility power, equivalent to what would be needed to supply electricity continuously to 290,000 to 365,000 average European households.

How much of the €30 billion (approximately $34.6 billion USD) is actually guaranteed?

Of the approximately €10 billion (approximately $11.5 billion USD) in public funding the Commission describes, only around €1 billion (approximately $1.2 billion USD) is drawn from the current EU budget and is confirmed. The remaining approximately €4 billion of Brussels’ stated target depends on the next Multiannual Financial Framework — the EU’s long-term budget, which is currently under negotiation and has not been agreed. Additionally, EU law caps the Union’s contribution at 17 percent of the capital expenditure for each facility’s computing infrastructure, meaning private investors and member states must cover the remaining 83 percent. The full €20 billion (approximately $23.1 billion USD) in private investment is expected but not contractually committed.

Will European AI Gigafactories actually reduce Europe’s dependence on American technology?

Only partially, and not at the chip level. The Commission has signed letters of intent with Nvidia, AMD, and Qualcomm — all US companies — to supply the hardware for the gigafactories. A group of 18 European Parliament members has warned the Commission about the strategic risk of remaining entirely dependent on American chip suppliers for this initiative. The gigafactories would improve Europe’s position on data sovereignty (compute operated under EU law, outside the reach of US CLOUD Act compelled disclosure) and would reduce the need to rent capacity from US-headquartered hyperscalers. They would not address Europe’s deeper technological gap: the continent lacks a chip manufacturer capable of producing the leading-edge AI accelerators these facilities require.

When can a European startup actually access compute from these gigafactories?

If the timeline holds — which requires the MFF to be agreed, private capital to commit, energy grid capacity to be secured, and construction to proceed — the earliest operational gigafactories would come online roughly 18 months after contracts are signed in early 2027, pointing to mid-2028 at the earliest. The tender has already slipped more than a year from its original late-2025 target. Companies that need large-scale AI compute now have existing options: EuroHPC’s 19 AI Factories (with GPU-hour access available in as little as four days through programs like HammerHAI in Germany), Eni’s exascale industrial platform in Italy, or US hyperscaler clouds, with all the data-jurisdiction caveats those entail.